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Our research dives deep into theoretical and applied aspects of signal, image processing, and machine learning to solve societal challenges through technology. We are mainly focused on developing advanced methods for the following tasks/areas-
AI for Remote Sensing
Hyperspectral image processing
Tensor approach for data compression
AI for precision agriculture
Image quality assessment
Biometric Recognition
Explainable machine learning
Seeking PhD students, Masters Students, Internship Postions, Collaboration in Hyperspectral image processing, Remote Sensing, AI4 Agriculture, Deep learning, XAI, Signal Processing. Feel free to reach out.
Current Students-
Ramen Ghosh (PhD)- Deep Learning for Change Detection from Remotely Sensed Hyperspectral Images, August 2024- Till Date
Manish Gayen (MS)- Multimodal Change Detection from Remote Sensing Images.
Ganesh Birua (BS)- Spectral Extension of Hyperspectral Images
Aravind Babu M (BS)- Unmixing-Based Change Detection from Remotely Sensed Hyperspectral Images
Past Students-
Nakshatra Goswami (MS)- Wavelet Decomposition-based DL Models for Non-stationary Time Series Prediction, Completed in 2025
Abhinav N (MS)- Evaluation of Counterfactual Explanations and Feature Importance for Machine Learning Models, Completed in 2025
Gavit Deepsh Ravikant (MS)- Large Language Models for Multimodal Meme Understanding, Completed in 2025
Sayandeep Pal (BS)- Evaluation of Actionable Counterfactuals in Crop Recommendation Systems, Completed in 2025
Manish Gayen (BS)- Tackling Label Noise in Medical Imaging, Completed in 2025
Avinash Kumar Kashyap (BS)- Motion Tracking of Blood Droplets Using Deep Learning Techniques, Completed in 2025
Abhinav (BS)- Deep Learning Based Near Infrared Image Colorization, Completed in 2025
Ganesh Birua (BS)- Remote Sensing Image Quality Assessment using Deep Learning Techniques, Completed in 2025
Rakshith Vaishnavi Dogra (BS)- Generation of Hyperspectral Images from RGB Images, Completed in 2025
Aravind Babu M (BS)- Quantifying depth from Remote Sensing Images, Completed in 2025
Some of our collaborators
Our Collaborators
UPDATES
Our latest publications-
Weikang Yu, Xioxiang Zhang, Samiran Das, XX Zhu, Pedram Ghamisi, "MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification " at IEEE Transactions on Geoscience and Remote Sensing, 2024 https://ieeexplore.ieee.org/abstract/document/10587034. Github - https://github.com/AI4RS/MaskCD
Karabi Konar, Saptarshi Das, Samiran Das, Sanjay Misra, "Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI", SN Computer Science, Vol 6, 2025.
Manas K Nag, Anup K Sadhu, Samiran Das, Chandan Kumar, Sandeep Choudhary, "3D CoAtUSegNet-Enhanced Deep Learning Framework for Accurate Segmentation of Acute Ischemic Stroke Lesions from Non-Contrast CT Scans", Physical and Engineering Sciences in Medicine, 2025.
Agniva Banerjee, Samiran Das, Akshay Agarwal, "On Visual Saliency Maps for Identifying the Fidelity of Deepfake Detection Dataset ", BMVC, 2nd Workshop on Media authenticity in the age of artificial intelligence, 2025 (Accepted).
Ramen Ghosh, Samiran Das, "Unmixing Aware Semantic Feature Fused Network for Accurate Multi-class Hyperspectral Change Detection", 15th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2025 (Accepted).
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